Department of Cardiology, Aviation Industry Central Hospital, An Ding Men Wai Bei Yuan Road 3, Beijing, 100012, China.
Cell Biochem Biophys. 2011 Apr;59(3):165-70. doi: 10.1007/s12013-010-9128-6.
The application of ambulatory electrocardiography to identify obstructive sleep apnea syndrome (OSAS) patients was evaluated using time-domain and frequency-domain analyses of heart rate variability (HRV). For this, overnight sleep pattern was investigated in 95 individuals (48 OSAS(+) patients and 47 OSAS(-) controls) by polysomnography and 24-h ambulatory electrocardiography. Apnea scores were calculated using two different HRV analyses. Average age and body mass index, and percentages of men and of patients with history of hypertension and/or diabetes were higher in study group as compared with control group. PNN50(night), SDNNI(day-night) and SDNNI(day-night) in time-domain analysis were more sensitive than other indices. In frequency-domain analysis, mean night-time total power, night-time VLF power, night-time LF power, and the difference between these measures in day and night were significantly higher in study group. LF/HF ratio was also significantly higher in study group in day-time or night-time with a significant difference (P < 0.05) between day and night. At sleep apnea risk score >4, sensitivity, specificity, and positive predictive value were, respectively, 81.25, 46.81, and 64.21%. At sleep apnea risk scores >5, 6, or 7, the specificity increased, while the sensitivity and positive predictive value decreased. In conclusion, time-domain and frequency-domain HRV analyses are useful methods for OSAS screening, and the frequency-domain analysis is more sensitive.
应用动态心电图分析心率变异性(HRV)的时域和频域分析来识别阻塞性睡眠呼吸暂停综合征(OSAS)患者。为此,通过多导睡眠图和 24 小时动态心电图对 95 名个体(48 名 OSAS(+)患者和 47 名 OSAS(-)对照组)进行了整夜睡眠模式研究。使用两种不同的 HRV 分析计算了呼吸暂停评分。与对照组相比,研究组的平均年龄和体重指数以及男性比例、高血压和/或糖尿病病史患者的比例更高。时域分析中的 PNN50(夜间)、SDNNI(白天-夜间)和 SDNNI(白天-夜间)比其他指标更敏感。在频域分析中,研究组夜间总功率、夜间 VLF 功率、夜间 LF 功率以及白天和夜间这些测量值之间的差异均显著高于对照组。LF/HF 比值在白天和夜间也显著高于对照组,且白天和夜间之间存在显著差异(P<0.05)。在睡眠呼吸暂停风险评分>4 时,敏感性、特异性和阳性预测值分别为 81.25%、46.81%和 64.21%。在睡眠呼吸暂停风险评分>5、6 或 7 时,特异性增加,而敏感性和阳性预测值降低。总之,时域和频域 HRV 分析是 OSAS 筛查的有用方法,且频域分析更敏感。